메뉴 건너뛰기




Volumn 2, Issue 1, 2009, Pages 598-609

Modeling and querying possible repairs in duplicate detection

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; SIGNAL DETECTION;

EID: 77954695997     PISSN: None     EISSN: 21508097     Source Type: Conference Proceeding    
DOI: 10.14778/1687627.1687695     Document Type: Article
Times cited : (32)

References (29)
  • 1
    • 85039687865 scopus 로고    scopus 로고
    • Bsiness objects
    • Bsiness objects, http://www.businessobjects.com.
  • 2
    • 85039686837 scopus 로고    scopus 로고
    • Oracle data integrator
    • Oracle data integrator, http://www.oracle.com/technology/products/oracle-data-integrator.
  • 3
    • 85039683433 scopus 로고    scopus 로고
    • PostgreSQL database system
    • PostgreSQL database system, http://www.postgresql.org.
  • 4
    • 84976783730 scopus 로고
    • On the Representation and Querying of Sets of Possible Worlds
    • S. Abiteboul, P. Kanellakis, and G. Grahne. On the Representation and Querying of Sets of Possible Worlds. SIGMOD Rec., 1987.
    • (1987) SIGMOD Rec
    • Abiteboul, S.1    Kanellakis, P.2    Grahne, G.3
  • 5
    • 33749588820 scopus 로고    scopus 로고
    • Clean answers over dirty databases: A probabilistic approach
    • P. Andritsos, A. Fuxman, and R. J. Miller. Clean answers over dirty databases: A probabilistic approach. In ICDE, 2006.
    • (2006) ICDE
    • Andritsos, P.1    Fuxman, A.2    Miller, R.J.3
  • 6
    • 0032640897 scopus 로고    scopus 로고
    • Consistent query answers in inconsistent databases
    • M. Arenas, L. Bertossi, and J. Chomicki. Consistent query answers in inconsistent databases. In PODS, 1999.
    • (1999) PODS
    • Arenas, M.1    Bertossi, L.2    Chomicki, J.3
  • 9
    • 34248229658 scopus 로고    scopus 로고
    • Collective entity resolution in relational data
    • I. Bhattacharya and L. Getoor. Collective entity resolution in relational data. ACM TKDD, 2007.
    • (2007) ACM TKDD
    • Bhattacharya, I.1    Getoor, L.2
  • 10
    • 26444550791 scopus 로고    scopus 로고
    • Robust identification of fuzzy duplicates
    • S. Chaudhuri, V. Ganti, and R. Motwani. Robust identification of fuzzy duplicates. In ICDE, 2005.
    • (2005) ICDE
    • Chaudhuri, S.1    Ganti, V.2    Motwani, R.3
  • 12
    • 33745797529 scopus 로고    scopus 로고
    • Probabilistic data generation for deduplication and data linkage
    • P. Christen. Probabilistic data generation for deduplication and data linkage. In IDEAL, 2005.
    • (2005) IDEAL
    • Christen, P.1
  • 13
    • 26844530797 scopus 로고    scopus 로고
    • Febrl. freely extensible biomedical record linkage
    • P. Christen and T. Churches. Febrl. freely extensible biomedical record linkage, http://datamining.anu.edu.au/projects.
    • Christen, P.1    Churches, T.2
  • 15
    • 36148994784 scopus 로고    scopus 로고
    • Efficient query evaluation on probabilistic databases
    • N. N. Dalvi and D. Suciu. Efficient query evaluation on probabilistic databases. VLDB J., 2007.
    • (2007) VLDB J
    • Dalvi, N.N.1    Suciu, D.2
  • 20
    • 0032091595 scopus 로고    scopus 로고
    • CURE: an efficient clustering algorithm for large databases
    • S. Guha, R. Rastogi, and K. Shim. CURE: an efficient clustering algorithm for large databases. In SIGMOD, 1998.
    • (1998) SIGMOD
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 21
    • 25444514184 scopus 로고    scopus 로고
    • Problems, methods, and challenges in comprehensive data cleansing. Technical Report
    • J.-C. F. Heiko Mller. Problems, methods, and challenges in comprehensive data cleansing. Technical Report. Humboldt University Berlin, 2003.
    • (2003) Humboldt University Berlin
    • Heiko Mller, J.-C.F.1
  • 22
    • 0021513522 scopus 로고
    • Incomplete Information in Relational Databases
    • T. Imieliński and J. Witold Lipski. Incomplete Information in Relational Databases. J. ACM, 31(4):761-791, 1984.
    • (1984) J. ACM , vol.31 , Issue.4 , pp. 761-791
    • Imieliński, T.1    Witold Lipski, J.2
  • 24
    • 78149286827 scopus 로고    scopus 로고
    • Probabilistic noise identification and data cleaning
    • J. Kubica and A. W. Moore. Probabilistic noise identification and data cleaning. In ICDM, 2003.
    • (2003) ICDM
    • Kubica, J.1    Moore, A.W.2
  • 25
    • 0034592786 scopus 로고    scopus 로고
    • IntelliClean: a knowledge-based intelligent data cleaner
    • M.-L. Lee, T. W. Ling, and W. L. Low. IntelliClean: a knowledge-based intelligent data cleaner. In KDD, 2000.
    • (2000) KDD
    • Lee, M.-L.1    Ling, T.W.2    Low, W.L.3
  • 29
    • 28444461763 scopus 로고    scopus 로고
    • A probabilistic XML approach to data integration
    • M. van Keulen, A. de Keijzer, and W. Alink. A probabilistic XML approach to data integration. In ICDE, 2005.
    • (2005) ICDE
    • van Keulen, M.1    de Keijzer, A.2    Alink, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.